Research and Application of Information Model of a Lithium Ion Battery Intelligent Manufacturing Workshop Based on OPC UA

Automation equipment with different functions from different manufacturers is common in lithium ion battery manufacturing workshops, which is manifested as heterogeneous data distributed at different network levels at the information level. The interconnection between a workshop system and equipment is the basis for realizing manufacturing informatization and intelligence, and is a core problem of intelligent manufacturing workshop integration. The key to solve this problem is to establish a standardized and consistent information model. Aiming at the problem of information interconnection, this paper established an information model of the intelligent manufacturing workshop of lithium ion batteries based on the analysis of the architecture, functional categories, and information interaction of the intelligent manufacturing workshop. Then, by clarifying the attribute set, component set, and the information objects contained in each information model, the hierarchical architecture of the information model was constructed. Then, the rules that map the information model in to the OLE for Process Control Unified Architecture (OPC UA) address space is established. The approach for implementing data storage and interaction of the information model based on the OPC UA server/client are also discussed. Finally, taking the soft-pack battery manufacturing workshop as an example, the information model is applied to realize the interconnection and interoperability of production management data, material management data, equipment management data, and quality management data among various levels of the workshop, which verifies the feasibility of the proposed information model.

[1]  Stuart Kent,et al.  Model Driven , 2002 .

[2]  A. K. Balaji,et al.  Towards integration of hybrid models for optimized machining performance in intelligent manufacturing systems , 2003 .

[3]  Steven J. Fenves,et al.  A product information modeling framework for product lifecycle management , 2005, Comput. Aided Des..

[4]  J. Andrew McAllister,et al.  Electricity consumption by battery-powered consumer electronics: A household-level survey , 2007 .

[5]  Ilias Belharouak,et al.  High-energy cathode material for long-life and safe lithium batteries. , 2009, Nature materials.

[6]  Huiming Lu,et al.  Research on key technology of the address space for OPC UA Server , 2010, 2010 2nd International Conference on Advanced Computer Control.

[7]  Carmen C. Y. Poon,et al.  Wearable Intelligent Systems for E-Health , 2011, J. Comput. Sci. Eng..

[8]  Ken Darcovich,et al.  Modelling the impact of variations in electrode manufacturing on lithium-ion battery modules , 2012 .

[9]  Alexander Bell,et al.  DKIST visible tunable filter control software: connecting the DKIST framework to OPC UA , 2014, Astronomical Telescopes and Instrumentation.

[10]  Birgit Vogel-Heuser,et al.  Model-driven Engineering of Manufacturing Automation Software Projects - A SysML-based Approach , 2014, ArXiv.

[11]  Claus Daniel,et al.  Prospects for reducing the processing cost of lithium ion batteries , 2015 .

[12]  Donald R. Sadoway,et al.  Self-healing Li–Bi liquid metal battery for grid-scale energy storage , 2015 .

[13]  Viatcheslav Filimonov,et al.  Generic OPC UA Server Framework , 2015 .

[14]  Jay Lee,et al.  A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems , 2015 .

[15]  Kehe Wu,et al.  Research of Integrity and Authentication in OPC UA Communication Using Whirlpool Hash Function , 2015 .

[16]  Gang Wang,et al.  Construction of Intelligent Manufacturing Workshop Based on Lean Management , 2016 .

[17]  Gunther Reinhart,et al.  Quality Management for Battery Production: A Quality Gate Concept☆ , 2016 .

[18]  Florian Palm,et al.  RESTful Industrial Communication With OPC UA , 2016, IEEE Transactions on Industrial Informatics.

[19]  Christoph Herrmann,et al.  Shop-floor Life Cycle Assessment☆ , 2017 .

[20]  G. Blomgren The development and future of lithium ion batteries , 2017 .

[21]  Paweł J. Swornowski,et al.  Destruction mechanism of the internal structure in Lithium-ion batteries used in aviation industry , 2017 .

[22]  Javier Bajo,et al.  Advances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection , 2017, Lecture Notes in Computer Science.

[23]  Dimitris Mourtzis,et al.  Towards Machine Shop 4.0: A General Machine Model for CNC machine-tools through OPC-UA , 2018 .

[24]  Øystein Haugen,et al.  Implementing OPC-UA services for Industrial Cyber-Physical Systems in Service-Oriented Architecture , 2019, IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society.

[25]  Christoph Herrmann,et al.  Toward Data‐Driven Applications in Lithium‐Ion Battery Cell Manufacturing , 2020, Energy Technology.

[26]  Colin Burvill,et al.  A novel smart assistive knee brace incorporated with shape memory alloy wire actuator , 2020 .

[27]  Albert Jones,et al.  A New Architectural Approach to Monitoring and Controlling AM Processes , 2020, Applied Sciences.

[28]  Yongdang Chen,et al.  Design of Multi-Line Elastic Belt Conveying Control System for Knitting Machine Based on I2C Protocol , 2020, IEEE Access.

[29]  Salvatore Cavalieri,et al.  Insights into Mapping Solutions Based on OPC UA Information Model Applied to the Industry 4.0 Asset Administration Shell , 2020, Comput..